一个。net应用程序的异常流分析工具

Israel García, N. Cacho
{"title":"一个。net应用程序的异常流分析工具","authors":"Israel García, N. Cacho","doi":"10.1109/LADCW.2011.18","DOIUrl":null,"url":null,"abstract":"In this paper, we present a exception-flow analysis tool, called eFlow Mining, that automates the process of gathering and visualizing exception-handling constructs in multi-programming languages. More specifically, the current version of eFlow Mining focuses on code written using the. NET framework to help developers in inspecting applications either to improve them or to understand their exception handling behavior. eFlow Mining extracts metrics and information about the exception flows in. NET applications, providing different views of the exception handling. For instance, an Evolution View allows developers to visualize the behavior of multiple metrics over the application history. Use of this tool on five. NET applications demonstrates that the tool can be helpful to support developers building and evolving applications with appropriate error-handling strategies.","PeriodicalId":383812,"journal":{"name":"2011 Fifth Latin-American Symposium on Dependable Computing Workshops","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"eFlowMining: An Exception-Flow Analysis Tool for .NET Applications\",\"authors\":\"Israel García, N. Cacho\",\"doi\":\"10.1109/LADCW.2011.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a exception-flow analysis tool, called eFlow Mining, that automates the process of gathering and visualizing exception-handling constructs in multi-programming languages. More specifically, the current version of eFlow Mining focuses on code written using the. NET framework to help developers in inspecting applications either to improve them or to understand their exception handling behavior. eFlow Mining extracts metrics and information about the exception flows in. NET applications, providing different views of the exception handling. For instance, an Evolution View allows developers to visualize the behavior of multiple metrics over the application history. Use of this tool on five. NET applications demonstrates that the tool can be helpful to support developers building and evolving applications with appropriate error-handling strategies.\",\"PeriodicalId\":383812,\"journal\":{\"name\":\"2011 Fifth Latin-American Symposium on Dependable Computing Workshops\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fifth Latin-American Symposium on Dependable Computing Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LADCW.2011.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fifth Latin-American Symposium on Dependable Computing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LADCW.2011.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

在本文中,我们提出了一个异常流分析工具,称为流挖掘,它可以在多种编程语言中自动收集和可视化异常处理结构的过程。更具体地说,当前版本的flow Mining侧重于使用。. NET框架来帮助开发人员检查应用程序,以改进它们或了解它们的异常处理行为。流挖掘提取异常流的度量和信息。NET应用程序,提供异常处理的不同视图。例如,演进视图允许开发人员可视化应用程序历史上多个指标的行为。使用这个工具在五。NET应用程序证明了该工具可以帮助开发人员使用适当的错误处理策略构建和改进应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
eFlowMining: An Exception-Flow Analysis Tool for .NET Applications
In this paper, we present a exception-flow analysis tool, called eFlow Mining, that automates the process of gathering and visualizing exception-handling constructs in multi-programming languages. More specifically, the current version of eFlow Mining focuses on code written using the. NET framework to help developers in inspecting applications either to improve them or to understand their exception handling behavior. eFlow Mining extracts metrics and information about the exception flows in. NET applications, providing different views of the exception handling. For instance, an Evolution View allows developers to visualize the behavior of multiple metrics over the application history. Use of this tool on five. NET applications demonstrates that the tool can be helpful to support developers building and evolving applications with appropriate error-handling strategies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Challenges in Safety Assessment of Complex Critical Infrastructures Qualification and Selection of Off-the-Shelf Components for Safety Critical Systems: A Systematic Approach A Practical Formal Approach for Requirements Validation and Verification of Dependable Systems Towards Agile Testing of Exceptional Behavior WSRTesting: Hands-On Solution to Improve Web Services Robustness Testing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1